Results 181 to 190 of about 15,732,808 (382)

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

The Relationship between Achievement, Intelligence, Personality, and Sociometric Test Scores and the Number and Types of Questions Asked by Students of a Fifth-Sixth-Grade Class

, 1968
Howard Morris Call
openalex   +1 more source

End-to-end Artificial Intelligence to analyze dynamical processes: A linear benchmark test

Emanuele Salgarollo, João Valle, Matteo Sangiorgio, Fabio Dercole   +3 more
openalex   +2 more sources

Corrigendum to Correlational structure of 'frontal' tests and intelligence tests indicates two components with asymmetrical neurostructural correlates in old age Intelligence 46 (2014) 94-106.

Intelligence, 2018
Cox SR, MacPherson SE, Ferguson KJ, Nissan J, Royle NA, MacLullich AMJ, Wardlaw JM, Deary IJ.   +7 more
europepmc   +1 more source

Intelligence Tests and School Reorganization

Nature, 2010
L. Terman
semanticscholar   +1 more source

Oral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats

Advanced Functional Materials, EarlyView.
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu, Mingli Wei, Che Bian, Xiaoshuang Bi, Yaxin Deng, Peifu Xiao, Jiansong Zhao, Yuying Wang, Haibing He, Jingxin Gou, Tian Yin, Xing Tang, Li Yang, Hongbo Zhang, Yu Zhang   +14 more
wiley   +1 more source

Comparison of the Peabody Picture Vocabulary Test and the Stanford-Binet Intelligence Scale in School Age Children

, 1978
Stephen Skiles
openalex   +1 more source

The enchanted loom of artificial general intelligence. [PDF]

Natl Sci Rev
Poo MM.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

The conversational action test: Detecting the artificial sociality of artificial intelligence

Saul Albert, William Housley, Rein Ove Sikveland, Elizabeth Stokoe   +3 more
openalex   +1 more source